Papers
2
Total Citations
28
H-Index
2
About
Yu Hui’s research bridges the frontiers of rehabilitation robotics and intelligent power systems, with a focus on adaptive control and multi-source data fusion. In a seminal 2009 work, Hui introduced a model-based fuzzy adaptation method for controlling a lower extremity rehabilitation exoskeleton, enabling the generation of adaptive gait trajectories tailored to stroke patients—a significant advance over traditional treadmill training robots. This paper, with 18 citations, laid groundwork for personalized robotic therapy. More recently, Hui has pioneered the application of knowledge graphs to substation intelligent inspection robots, as outlined in a 2022 overview and roadmap. This work addresses the growing complexity of power grid environments by fusing multi-source data to enhance autonomous patrol efficiency and equipment monitoring. With 10 citations and growing influence, Hui’s contributions are shaping both assistive medical devices and critical infrastructure automation. Their interdisciplinary approach—combining fuzzy logic, robotics, and knowledge engineering—demonstrates a commitment to solving real-world challenges in healthcare and energy sectors, making Hui a notable figure in applied robotics research.
Research Focus
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Top Papers
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